zvelo is the provider of the most advanced URL Database for Web Categorization and Malicious Detection—designed for OEMs, device manufacturer’s, and Network Security vendors. zvelo’s content categorization engines power web filtering and parental controls, whitelists and blacklists for anti-virus companies, home network protection devices, and much more. By categorizing content into topic-based, objectionable, and malicious category groupings—zveloDB provides the most advanced malicious detection for advanced threat intelligence and cybersecurity.
Since the release of BIND 9 in 2010, RPZ has proven a powerful technology for security and network management—allowing organizations to implement an additional DNS configuration layer. In fact, BIND is the most widely used Domain Name System software on the internet—making RPZ configuration options like integrating commercial feeds, blocklists, and URL databases like zveloDB™ all the more attractive. So let’s take a moment to revisit the advantages of RPZ.
Over the past decade, the use of “clickbait” ads has become the norm in order to entice viewers to click on the ad and drive traffic to a publisher. Web surfers have grown accustomed to seeing the same types of clickbait ads and sponsored stories like the ones shown below with sensational headlines about curing cancer, stopping aging, improving your sex life and more.
For the average web surfer, the URL bar provides a magical portal to the interwebz where anything that can be thought of can be entered—revealing the treasures of the internet at the stroke of ‘enter’. For the rest of us, we know it gets much more complicated than that as we slip down the rabbit hole and into OSI, DNS, TLS, HTTPS, subdomains…
I was recently debugging a nasty issue in one of our backend services and needed to view the exact HTTP request & response being sent to an authentication server. Fortunately, Go’s standard library provides http.RoundTripper, httputil.DumpRequestOut & httputil.DumpResponse, which are great for dumping the exact out-bound request & the response. But since an authentication request contains credentials and a response contains a security token, it would have been insecure to record credentials & tokens in our logging systems. How could I securely exfiltrate the information I needed, while maintaining security and not requiring a whole lot of changes to my codebase or deployment environment?
Last week, we announced that we will be extending zveloDB™ URL categorization support to include eight (8) new categories. The new categories represent a number of emergent topics and threats including Cryptocurrency, Cryptocurrency Mining, Fake News, Terrorism, and more.
A growing social networking company required a highly granular and accurate website categorization feed to track, analyze, group user interests and behavior at scale in order to provide anonymous user-specific curated feed results and connections.
DetailsRecently, Digiday published an article about the “winners and losers” of the new EU ePrivacy law. As suspected, behavioral targeting is a clear loser due to its reliance on cookie-based targeting. The only winners mentioned seemed to be those outside of the realm of digital advertising.
With the digital advertising industry increasingly shaped by programmatic ad buying, brands are realizing the necessity – from a brand safety perspective – of ensuring that their ads steer clear of associations with objectionable content.
Detailszvelo Instant Protection (zIP) is a new feature designed to provide fast, up-to-the-minute updates on important category changes and real-time protection from newly identified blockable (adult, porn, hate, criminal, etc.) and malicious (malware, spyware, phishing, compromised, etc.) URLs.
In the end, the content that makes up fake news still has some connection to real news or an actual event. Can AI tell the difference between fake news and satire?
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